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  • Open Access

    PROCEEDINGS

    Elastic Fields of Double Branched and Kalthoff-Winkler Cracks in a Half-Plane

    Yangjian Si1,2, Yujie Wei1,2,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.29, No.1, pp. 1-1, 2024, DOI:10.32604/icces.2024.011974

    Abstract Edge cracking represents one of the most prominent damage modes in engineering practice and hence receives immense attention from academic societies. When branched cracks or multiple cracks are present at the edge, their propagation may be affected by the interaction between the cracks. In this talk, we may cover the elasticity of a cracked half-plane with two typical scenarios: a double branched crack with two rays emanating from one point on the edge and two edge cracks spaced by a certain distance (Kalthoff–Winkler cracks). By adopting the combination of the Schwartz-Christoffel conformal mapping and the… More >

  • Open Access

    ARTICLE

    Evaluation of Mechanical Properties and Surface Quality of Wood from Bosnia and Herzegovina Exposed to Outdoor Conditions

    Redžo Hasanagić1,*, Umejr Šljivo1, Leila Fathi2, Pallavi Gautam3, Mohsen Bahmani2,*, Miha Humar4

    Journal of Renewable Materials, Vol.12, No.8, pp. 1417-1431, 2024, DOI:10.32604/jrm.2024.052826 - 06 September 2024

    Abstract This study investigated the mechanical properties of beech (Fagus sylvatica L.) and fir (Abies alba) wood from Bosnia and Herzegovina under outdoor exposure. Samples were exposed for 3-month exposure to assess bending strength, color changes, and surface quality. Results showed outdoor exposure negatively affected mechanical properties, particularly in samples with extended finger joints, causing significant surface cracks in uncoated samples. Beech wood exhibited notable color changes under exposure, with approximately 50% darkening without coating compared to 25% under covered conditions. Coated samples displayed minimal color changes, affirming the efficacy of surface treatment. Fir wood exhibited a roughness More > Graphic Abstract

    Evaluation of Mechanical Properties and Surface Quality of Wood from Bosnia and Herzegovina Exposed to Outdoor Conditions

  • Open Access

    ARTICLE

    Rapid and Accurate Identification of Concrete Surface Cracks via a Lightweight & Efficient YOLOv3 Algorithm

    Haoan Gu1, Kai Zhu1, Alfred Strauss2, Yehui Shi3,4, Dragoslav Sumarac5, Maosen Cao1,*

    Structural Durability & Health Monitoring, Vol.18, No.4, pp. 363-380, 2024, DOI:10.32604/sdhm.2024.042388 - 05 June 2024

    Abstract Concrete materials and structures are extensively used in transformation infrastructure and they usually bear cracks during their long-term operation. Detecting cracks using deep-learning algorithms like YOLOv3 (You Only Look Once version 3) is a new trend to pursue intelligent detection of concrete surface cracks. YOLOv3 is a typical deep-learning algorithm used for object detection. Owing to its generality, YOLOv3 lacks specific efficiency and accuracy in identifying concrete surface cracks. An improved algorithm based on YOLOv3, specialized in the rapid and accurate identification of concrete surface cracks is worthy of investigation. This study proposes a tailored… More >

  • Open Access

    ARTICLE

    Coupling Effect of Cryogenic Freeze-Thaw Cycles and Chloride Ion Erosion Effect in Pre-Cracked Reinforced Concrete

    Yang Li, Sibo Jiang*, Ruixin Lan

    Structural Durability & Health Monitoring, Vol.18, No.3, pp. 255-276, 2024, DOI:10.32604/sdhm.2024.047776 - 15 May 2024

    Abstract Chloride (Cl) ion erosion effects can seriously impact the safety and service life of marine liquefied natural gas (LNG) storage tanks and other polar offshore structures. This study investigates the impact of different low-temperature cycles (20°C, –80°C, and −160°C) and concrete specimen crack widths (0, 0.3, and 0.6 mm) on the Cl ion diffusion performance through rapid erosion tests conducted on pre-cracked concrete. The results show that the minimum temperature and crack width of freeze-thaw cycles enhance the erosive effect of chloride ions. The Cl ion concentration and growth rate increased with the increasing crack More > Graphic Abstract

    Coupling Effect of Cryogenic Freeze-Thaw Cycles and Chloride Ion Erosion Effect in Pre-Cracked Reinforced Concrete

  • Open Access

    REVIEW

    A Review on Finite Element Alternating Methods for Analyzing 2D and 3D Cracks

    Jai Hak Park*

    Digital Engineering and Digital Twin, Vol.2, pp. 79-101, 2024, DOI:10.32604/dedt.2024.047280 - 25 March 2024

    Abstract A finite element alternating method has been known as a very convenient and accurate method to solve two and three-dimensional crack problems. In this method, a general crack problem is solved by a superposition of two solutions. One is a finite element solution for a finite body without a crack, and the other is an analytical solution for a crack in an infinite body. Since a crack is not considered in a finite element model, generating a model is very simple. The method is especially very convenient for a fatigue crack growth simulation. Over the More >

  • Open Access

    PROCEEDINGS

    Fragile Points Method for Modeling Complex Structural Failure

    Mingjing Li1,*, Leiting Dong1, Satya N. Atluri2

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.4, pp. 1-2, 2023, DOI:10.32604/icces.2023.09689

    Abstract The Fragile Points Method (FPM) is a discontinuous meshless method based on the Galerkin weak form [1]. In the FPM, the problem domain is discretized by spatial points and subdomains, and the displacement trial function of each subdomain is derived based on the points within the support domain. For this reason, the FPM doesn’t suffer from the mesh distortion and is suitable to model complex structural deformations. Furthermore, similar to the discontinuous Galerkin finite element method, the displacement trial functions used in the FPM is piece-wise continuous, and the numerical flux is introduced across each… More >

  • Open Access

    PROCEEDINGS

    A Second-Order Multiscale Fracture Model for the Brittle Materials with Periodic Distribution of Micro-Cracks

    Zhiqiang Yang1,*, Yipeng Rao2, Yi Sun1, Junzhi Cui2, Meizhen Xiang3,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.27, No.1, pp. 1-1, 2023, DOI:10.32604/icces.2023.09513

    Abstract An effective fracture model is established for the brittle materials with periodic distribution of micro-cracks using the second-order multiscale asymptotic methods. The main features of the model are: (i) the secondorder strain gradient included in the fracture criterions and (ii) the strain energy and the Griffith criterions for micro-crack extensions established by the multiscale asymptotic expansions. Finally, the accuracy of the presented model is verified by the experiment data and some typical fracture problems. These results illustrate that the second-order fracture model is effective for analyzing the brittle materials with periodic distribution of micro-cracks. More >

  • Open Access

    PROCEEDINGS

    Detection of Fatigue Cracks in Metal Material Based on Peridynamic Differential Operator

    Jiaming Liang1, Qizheng Wang1, Yile Hu1, Yin Yu1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.25, No.4, pp. 1-1, 2023, DOI:10.32604/icces.2023.09307

    Abstract The most common form of damage in aircraft structures is fatigue damage. Accurate detection of fatigue crack tip is the cornerstone for prediction of crack propagation path and the basis for calculation of residual strength and stiffness. It is of great significance to improve structural fatigue resistance design. When simulating the crack growth problem based on the traditional method, the crack tip needs to be re-meshed so that resulting in low calculation efficiency. The expansion of fatigue cracks has a complex shape, for example, the fatigue crack damage on the aircraft skin often shows a… More >

  • Open Access

    ARTICLE

    Peridynamic Study on Fracture Mode and Crack Propagation Path of a Plate with Multiple Cracks Subjected to Uniaxial Tension

    Zeyuan Zhou, Ming Yu, Xinfeng Wang*, Zaixing Huang

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.3, pp. 2593-2620, 2023, DOI:10.32604/cmes.2023.027384 - 03 August 2023

    Abstract How to simulate fracture mode and crack propagation path in a plate with multiple cracks is an attractive but dicult issue in fracture mechanics. Peridynamics is a recently developed nonlocal continuum formulation that can spontaneously predict the crack nucleation, branch and propagation in materials and structures through a meshfree discrete technique. In this paper, the peridynamic motion equation with boundary traction is improved by simplifying the boundary transfer functions. We calculate the critical cracking load and the fracture angles of the plate with multiple cracks under uniaxial tension. The results are consistent with those predicted More > Graphic Abstract

    Peridynamic Study on Fracture Mode and Crack Propagation Path of a Plate with Multiple Cracks Subjected to Uniaxial Tension

  • Open Access

    ARTICLE

    Deep Learning Method to Detect the Road Cracks and Potholes for Smart Cities

    Hong-Hu Chu1, Muhammad Rizwan Saeed2, Javed Rashid3,4,*, Muhammad Tahir Mehmood5, Israr Ahmad6, Rao Sohail Iqbal4, Ghulam Ali1

    CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 1863-1881, 2023, DOI:10.32604/cmc.2023.035287 - 06 February 2023

    Abstract The increasing global population at a rapid pace makes road traffic dense; managing such massive traffic is challenging. In developing countries like Pakistan, road traffic accidents (RTA) have the highest mortality percentage among other Asian countries. The main reasons for RTAs are road cracks and potholes. Understanding the need for an automated system for the detection of cracks and potholes, this study proposes a decision support system (DSS) for an autonomous road information system for smart city development with the use of deep learning. The proposed DSS works in layers where initially the image of… More >

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